In the second approach, we maximize the L2-distance of the outputs by designing the optimal external stimulus (input) profile of unit L2-norm.
We also assume that the input is of unit-energy.
Noisy input or destruction of units causes graceful degradation of function.
After training, the network was able to produce a final correct target semantic pattern, given a particular pattern of activation of input units (letters).
Table 1 demonstrates the inputs and outputs of units under these scenarios.
Each unit operation has been developed from first principles and connected in a continuous framework such that the output of one unit operation becomes the input of the next unit operation.
Input units of this model are linear while hidden units are still binary.
As a hybrid RNNLM can take two types of input units, the training text consists of two sets: a word sequence set and a PM sequence set.
There is typically a layer of input units (nodes), one or more layers of hidden units, and an output layer, where each layer has (excitatory and inhibitory) connections forward to the next layer, typically conveying evidence for higher-level constituents to that layer.
There is almost an order of magnitude difference in the total input of pesticide per unit area between the different landscapes.
